AI Lab Solutions:
Research to Production
From innovative research prototypes solving hard problems to battle-tested implementation tools ready for your lab today.
Two Types of Solutions
Choose between cutting-edge research prototypes or proven implementation tools
Research Prototypes
Novel AI solutions for complex lab challenges. Validated on real data, proven methodology, ready for custom deployment.
- ✓Advanced ML models (LSTM, Prophet, RF)
- ✓Solve problems vendors don't address
- ✓Custom implementation: 6-8 weeks
- ✓Investment: $50K-150K
💡 Best for: Labs wanting competitive advantage through innovation
Implementation Demos
Production-ready tools you can deploy quickly. Battle-tested patterns, standard integrations, fast ROI.
- ✓Proven architectures (NLP, dashboards, parsers)
- ✓Solve operational pain points
- ✓Fast deployment: 1-4 weeks
- ✓Investment: $15K-50K
💡 Best for: Labs needing quick wins with proven technology
Advanced Research Prototypes
Novel AI solutions for complex challenges. Interactive demos prove feasibility before investment.
Predictive Quality Control
Stop QC failures before they happen
LSTM neural networks predict instrument failures 6-8 hours in advance by detecting subtle drift patterns.
Validated Metrics:
📋 Implementation Details
Featured Research
This prototype represents cutting-edge research validated on real-world data. Test the interactive demo to see the AI in action.
TAT Forecasting Engine
Predict turnaround time 24 hours ahead
Prophet + Random Forest ensemble predicts TAT based on volume, staffing, and 50+ operational variables.
Validated Metrics:
📋 Implementation Details
Featured Research
This prototype represents cutting-edge research validated on real-world data. Test the interactive demo to see the AI in action.
Lab Data Anomaly Detection
Catch unusual patterns instantly
Unsupervised learning identifies outliers in results, metrics, and workflows that indicate upstream issues.
Validated Metrics:
📋 Implementation Details
Production-Ready Implementation Tools
Battle-tested solutions you can deploy in weeks, not months. Fast ROI, proven patterns.
Lab Report Analyzer
AI-powered interpretation of diagnostic reports with critical flagging, clinical summaries, and follow-up actions.
HL7 Message Parser
Parse HL7 v2.x messages with AI insights. Visual summaries, color-coded segments, educational content.
Lab Data Dashboard
Real-time KPI cards, interactive charts, filters. Enterprise-grade design, fully responsive.
Lab OCR & Extraction
Turn scanned/photographed reports into structured, machine-readable data with 95%+ accuracy.
Microbiology Culture Analyzer
AI interpretation of C&S reports with flagged resistances and clinical action recommendations.
Chemistry Trend Analyzer
Evaluates longitudinal chemistry data, highlights trends, predicts risk patterns.
Ready-to-Implement Code Solutions
Explore my library of pre-tested AI code, validated demos, and deployment frameworks built to bypass prototyping and rapidly integrate intelligence into your healthcare lab.
AI Lab Report Analyzer
Transform unstructured lab reports into actionable insights instantly. AI-powered analysis that extracts, interprets, and flags critical values from any lab report format.
AI Readiness & Strategy Assessment
A comprehensive audit of your data, systems, and goals, culminating in a custom AI implementation roadmap.
Not Sure Which Path Is Right for Your Lab?
Schedule a 30-minute discovery call. I'll help you choose between research prototypes or implementation tools based on your needs.
Common Questions
What's the difference between Research Prototypes and Implementation Demos?
Research Prototypes are novel AI solutions I've built to solve complex problems (like predicting QC failures). They require custom deployment. Implementation Demos are proven tools (like report analyzers) that can be deployed quickly with standard integrations.
Can I test with my lab's data?
For Implementation Demos: Yes, during pilot phase. For Research Prototypes: Not in the public demo, but pilot partners get private instances with real data under BAA.
How much does implementation cost?
Implementation Demos: $15K-50K for 1-4 week deployment. Research Prototypes: $50K-150K for 6-8 week custom implementation. Both include training and support.
Which should I choose for my lab?
Choose Implementation Demos if you need quick wins solving operational tasks. Choose Research Prototypes if you want competitive advantage solving problems vendors don't address. Book a call and I'll help you decide.